Nike · 2 hours ago
Principal, Data Scientist, Nike Sport Research Lab
Beaverton, Oregon
Full-time
Onsite
Senior Level, Lead/Staff
7+ years expNike is a leading company in sports innovation, seeking a Principal Data Scientist for their Sport Research Lab. The role involves partnering with multidisciplinary teams to leverage data science and machine intelligence to enhance athletic performance and product development.
ApparelE-CommerceFashionLifestyleProduct DesignRetailSporting Goods
Responsibilities
Apply expertise in signal processing, machine learning, sensor fusion, computer vision, and other areas of machine intelligence to solve complex problems using large, diverse datasets
Develop and deploy predictive models in production environments to power personalized digital experiences for athletes and consumers
Drive the development of large-scale experimentation capabilities and help identify causal factors influencing athletic performance and behavior
Lead the creation, acquisition, and maintenance of high-quality datasets that enable ongoing exploration and unlock value for NSRL and partner organizations
Investigate and evaluate new technologies, software, machine learning techniques, and capabilities to keep NSRL at the forefront of innovation
Communicate technical information, methods, and findings clearly and concisely to technical and non-technical teams, partners, and senior management
Create specifications and documentation for external professional services firms to achieve team objectives efficiently
Stay connected with machine intelligence innovations across the industry and share insights with team members and partners throughout Nike
Qualification
Required
PhD or Master's in Statistics, Computer Science, Electrical/Biomedical engineering, Economics, or related field, Will accept any suitable combination of education, experience and training
7-9+ years demonstrated experience in Data Science, including expertise in data synthesis, machine learning, statistical modeling, causal inference, or signal processing
Demonstrated expertise with Python, and data analysis stacks (such as NumPy, SciPy, pandas, Spark, etc.)
Experience with AWS infrastructure, Spark, Databricks, and SQL
Demonstrated practice of software engineering best practices within technical orgs (git for version control, structured code reviews, automated tests, CI/CD pipelines, and maintainable, reproducible build environments)
Proven ability to define, initiate, and supervise analytics and modeling efforts
Strong track record of translating business needs into research requirements and strategy
Ability to interpret and implement methods described in research papers and articles in signal processing, machine learning, deep learning, mathematical modeling, and related fields
Excellent interpersonal and communication skills, with experience communicating technical information in both written and verbal formats
Preferred
Experience with experimental design and statistical inference, including adaptive experimentation, A/B testing, bandit optimization, and causal inference
Proficiency in advanced machine learning methods, including classification, regression, deep learning, and computer vision algorithms
Familiarity with time-series analysis, predictive modeling, and forecasting using large-scale, real-world datasets (e.g., sensor, image, or behavioral data)
Experience developing and deploying models that learn from expert input and emulate expert decision-making
Understanding of, or working knowledge in, cardiovascular physiology, biomechanics, perception science, or related fields
Experience with bio-signals, wearables, and inertial measurement technologies
Peer-reviewed machine learning publications or other demonstrable contributions (e.g., GitHub, apps, products)
Experience leading or mentoring teams of data scientists and engineers in research or product settings
Experience designing and delivering clear, impactful data visualizations for technical and non-technical audiences
Experience building and maintaining robust data pipelines, ensuring data quality, integrity, and accessibility for analysis and modeling
Company
Nike
Nike is a retail brand that provides the sale of apparel, footwear, sports equipment, and accessory products.
10001+ employees
H1B Sponsorship
Nike has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (340)
2024 (302)
2023 (328)
2022 (543)
2021 (426)
2020 (253)
Funding
Current Stage
Public CompanyTotal Funding
$239MKey Investors
Pershing Square Capital Management
2024-08-17Post Ipo Equity· $239M
1980-12-02IPO
Leadership Team
Elliott Hill
President and Chief Executive Officer
Muge Erdirik Dogan
EVP & Chief Technology Officer, NIKE, Inc.
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